VARIABILIDADE ESPAí"¡O TEMPORAL DAS ESPÉCIES-ALVOS DA PESCA DE ATUNS E AFINS NO BRASIL
DOI:
https://doi.org/10.20950/1678-2305.2020.46.2.587Palavras-chave:
esforço de pesca, taxa de captura, alvo de pescaResumo
O conhecimento sobre o histórico de capturas e a identificação de espécies alvo da pesca é essencial para a conservação destas espécies, principalmente as migratórias, cujos dados de avaliação dos estoques são comumente obtidos da frota comercial. Foram analisados os dados disponíveis sobre captura, esforço e localização geográfica dos lances de pesca, presentes no Banco Nacional de Dados da Pesca de Atuns e Afins (BNDA). Foram calculadas as razões entre as capturas das diferentes espécies de atuns e afins e os padrões identificados foram utilizados para classificar quais seriam as espécies-alvo da frota brasileira em diferentes períodos entre 1978 e 2018. Os resultados apontaram três momentos distintos de exploração da frota de espinhel brasileira. O primeiro (1978-1981), caracterizado pela hegemonia das embarcações japonesas, tendo o espadarte com maior participação na quantidade de peixes capturados durante este período (com indicador de direcionamento médio de Dka = 0,30). A segunda fase teve vigência entre 1982 e 2001, marcada por um aumento do indicador para as espécies de albacoras, principalmente a branca (média de Dka = 0,17). E por fim, a terceira fase (2002-2018), na qual ocorreu o arrendamento de várias embarcações, aumento no esforço e na captura de espadarte (média de Dka = 0,04) e tubarão azul (média de Dka = 0,19). Além disso, a CPUE calculada reflete as variações do direcionamento da frota ao longo dos anos, bem como da biomassa das espécies analisadas.
Referências
Arfelli, C.A. 1996. Estudo da pesca e aspectos da diní¢mica populacional de espadarte, Xiphias gladius, L. 1758, no Atlí¢ntico Sul. Rio Claro. 175f. (Tese de Doutorado í Instituto de Biociências, Universidade Estadual Paulista, UNESP). Available at: <http://www.athena.biblioteca.unesp.br> Accessed: Apr. 10, 2019.
Arrizabalaga, H.; De Bruyn, P.; Diaz, G.A.; Murua, H.; Chavance, P.; de Molina, A.D.; Gaertner, D.; Ariz, J.; Ruiz, J.; Kell, L.T. 2011. Productivity and susceptibility analysis for species caught in Atlantic tuna fisheries. Aquatic Living Resources, 24(1): 1-12. https://doi.org/10.1051/alr/2011007.
Arrizabalaga, H.; Dufour, F.; Kell. L.; Merino, G.; Ibairarriga, L.; Chust, H.; Irigoien, X.; Santiago, J.; Murua, H.; Fraile, I.; Chiffet, M.; Goikoetxea, N.; Sararminaga, Y.; Aumont, O.; Bopp, L.; Herrera, M.; Fromentin, J.M.; Bonhomeau, S. 2015. Global habitat preferences of commercially valuable tuna. Deep Sea Research Part II: Topical Studies in Oceanography, 113: 102-112. https://doi.org/10.1016/j.dsr2.2014.07.001.
Barreto, R.; Ferretti, F.; Flemming, J.M.; Amorim, A.; Andrade, H.; Worm, B.; Lessa, R. 2016. Trends in the exploitation of South Atlantic shark populations. Conservation Biology, 30(4): 792-804. https://doi.org/10.1111/cobi.12663.
Barreto, R.R.; Bornatowski, H.; Motta, F.S.; Santander-Neto, J.; Vianna, G.M.S.; Lessa, R. 2017. Rethinking use and trade of pelagic sharks from Brazil. Marine Policy, 85(1): 114-122. https://doi.org/10.1016/j.marpol.2017.08.016.
Biseau, A. 1998. Definition of a directed fishing effort in a mixed-species trawl fishery, and its impacts on stock assessments. Aquatic Living Resources, 11(3): 119-136. https://doi.org/10.1016/S0990-7440(98)80109-5.
Campbell, R.A. 2004. CPUE standardisation and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fisheries Research, 70(2-3): 209-227. https://doi.org/10.1016/j.fishres.2004.08.026.
Campbell, R.A. 2015. Constructing stock abundance indices from catch and effort data: Some nuts and bolts. Fisheries Research, 161(1): 109-130. https://doi.org/10.1016/j.fishres.2014.07.004.
Campbell, R.A. 2016. A new spatial framework incorporating uncertain stock and fleet dynamics for estimating fish abundance. Fish and Fisheries, 17(1): 56-77. https://doi.org/10.1111/faf.12091.
Carruthers, T.R.; Ahrens, R.N.; Mcallister, M.K.; And Walters, C.J. 2011. Integrating imputation and standardization of catch rate data in the calculation of relative abundance indices. Fisheries Research, 109(1): 157í 167. https://doi.org/10.1016/j.fishres.2011.01.033.
Carvalho, F.; Ahrens, R.; Murie, D.; Ponciano, J.M.; Aires-da-Silva, A.; Maunder, M.N.; Hazin, F. 2014. Incorporating specific change points in catchability in fisheries stock assessment models: An alternative approach applied to the blue shark (Prionace glauca) stock in the south Atlantic Ocean. Fisheries Research, 154: 135-146. https://doi.org/10.1016/j.fishres.2014.01.022.
Chang, S.K.; Hoyle, S.; Liu, H.I. 2011. Catch rate standardization for yellowfin tuna (Thunnus albacares) in Taiwan’s distant-water longline fishery in the Western and Central Pacific Ocean, with consideration of target change. Fisheries Research, 107(1-3): 210-220. https://doi.org/10.1016/j.fishres.2010.11.004.
Coelho, R.; Mejuto, J.; Domingo, A.; Yokawa, K.; Liu, K.M.; Cortés, E.; Romanov, E.V.; Silva, C.; Hazin, F.; Arocha, F.; Mwilima, A.M.; Bach, P.; Zárate, V.O.; Roche, W.; Lino, P.G.; Garcia-Cortés, B.; Ramos-Cartelle, A.M.; Forselledo, R.; Mas, F.; Ohshimo, S.; Courtney, D.; Sabarros, P.S.; Perez, B.; Wogerbauer, C.; Tsai, W.-P.; Carvalho, F.; Santos, M.N. 2018. Distribution patterns and population structure of the blue shark (Prionace glauca) in the Atlantic and Indian Oceans. Fish and Fisheries, 19(1): 90-106. https://doi.org/10.1111/faf.12238 .
Cortés, E.; Arocha, F.; Beerkircher, L.; Carvalho, F.; Domingo, A.; Heupel, M.; Holtzhausen, H.; Santos, M.N.; Ribera, M; Simpfendorfer, C. 2010. Ecological risk assessment of pelagic sharks caught in Atlantic pelagic longline fisheries. Aquatic Living Resources, 23(1): 25-34. https://doi.org/10.1051/alr/2009044.
Dias-Neto, J. 2010. Pesca no Brasil e seus aspectos institucionais- um registro para o futuro. Revista CEPSUL - Biodiversidade e Conservação Marinha, 1(1): 66-80.
Erauskinâ€ÂExtramiana, M.; Arrizabalaga, H.; Hobday, A.J.; Cabré, A.; Ibaibarriaga, L.; Arregui, I.; Murua, H.; Chust, G. 2019. Largeâ€Âscale distribution of tuna species in a warming ocean. Global change biology, 25(6): 2043-2060. https://doi.org/10.1111/gcb.14630.
FAO - Food and Agriculture Organization of the United Nations. 2020. The State of World Fisheries and Aquaculture 2020 - Sustainability in action. SOFIA, Rome, Italy. Available at: <http://www.fao.org/documents/card/en/c/ca9229en/> Accessed: Aug 04, 2020.
FAO - Food and Agriculture Organization of the United Nations. 2015. Fishery and Aquaculture Statistics. Global production by production source 1950í 2014 (FishstatJ). In: FAO Fisheries and Aquaculture Department [online or CD-ROM]. Rome. Updated 2015. Available at: <http://www.fao.org/fishery/statistics/software/fishstatj/en> Accessed: Sep. 30, 2019.
Fiedler, F.N.; Sales, G.; Giffoni, B.B.; Port, D.; Sant'ana, R.; Barreto, A.S.; Schwingel, P.R. 2015. Spatio-temporal distribution and target species in longline fisheries off the southeastern/southern Brazil between 2000 and 2011. Brazilian Journal of Oceanography, 63(4): 407í 422. https://dx.doi.org/10.1590/S1679-87592015090706304.
García-Cortés, B.; Mejuto, J.; Serna, J.M. De La; Ramos-Cartelle, A. 2010. A summary on the activity of the Spanish surface longline fleet catching swordfish (Xiphias gladius) during the years 2006-2007. Collective Volume of Scientific Papers ICCAT, 65(1): 135-146.
Gerritsen, H. 2018. mapplots: Data Visualisation on Maps. R package version 1.5.1. Available at: <https://CRAN.R-project.org/package=mapplots> Accessed: Aug. 05, 2020.
Guillotreau, P.; Squires, D.; Sun, J.; Compeán, G.A. 2017. Local, regional and global markets: what drives the tuna fisheries? Reviews in Fish Biology and Fisheries, 27(4): 909-929. https://doi.org/10.1007/s11160-016-9456-8.
Guimarães-Silva, A.A; Andrade H.A. 2014. Taxas de captura de espadarte e de tubarão azul no sudoeste do atlí¢ntico entre as décadas de 1980 e 2000. Boletim do Instituto de Pesca, 40(4): 471-486.
Hazin, F.H.V.; Travassos, P.E.P. 2007. A Pesca oceí¢nica no Brasil no século 21. Revista Brasileira de Engenharia de Pesca, 2(1): 61-75. https://doi.org/10.18817/repesca.v2i1.34.
Hazin, H.; Erzini, K. 2008. Assessing swordfish distribution in the South Atlantic from spatial predictions. Fisheries Research, 90(1-3): 45-55. https://doi.org/10.1016/j.fishres.2007.09.010.
Hazin, H.G.; Hazin, F.H.V.; Mourato, B.; Carvalho F.; Frédou, T.B. 2014. Standardized catch rates of swordfish (Xiphias gladius) Caught by the brazilian fleet (1978-2012) using generalized Linear mixed models (GLMM) using delta log approach. Collective Volume of Scientific Papers ICCAT, 70(4): 1875-1884.
Hilborn, R.; Walters, C.J. 1992. Quantitative fisheries stock assessment: choice dynamics and uncertainty. London, Chapman and Hall. 550p.
Hiraoka, Y.; Kanaiwa, M.; Ohshimo, S.; Takahashi, N.; Kai, M.; Yokawa, K. 2016. Relative abundance trend of the blue shark Prionace glauca based on Japanese distant-water and offshore longliner activity in the North Pacific. Fisheries Science, 82(5): 687-699. https://doi.org/10.1007/s12562-016-1007-7.
Hobday, A.J.; Arrizabalaga, H.; Evans, K.; Scales, K.L.; Senina, I.; Weng, K.C. 2017. International collaboration and comparative research on ocean top predators under CLIOTOP. Deep Sea Research II, 140(1): 1í 8. https://doi.org/10.1016/j.dsr2.2017.03.008.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2016. Report of the 2015 ICCAT blue shark stock assessment session. SCRS PLENARY SESSIONS. Available at: <https://www.iccat.int/en/pubs_biennial.html> Accessed: Sep. 03, 2018.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2017. Report of the 2017 ICCAT Atlantic swordfish stock assessment session. SCRS PLENARY SESSIONS, 2017. Available at: <https://www.iccat.int/en/pubs_biennial.html> Accessed: Sept. 03, 2018.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2019. Report for biennial period, 2018-19. Part. I (2018). SCRS PLENARY SESSIONS 1 TO 9, 2, 2019. Available at: <https://www.iccat.int/en/pubs_biennial.html> Accessed: Sept. 03, 2018.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2020. ICCAT statistical databases. Available at: <https://www.iccat.int/en/accesingdb.html> Accessed: Aug. 08, 2020.
Lira, M.G.; Nóbrega, M.F.; Lins Oliveira, J.E. 2017. Caracterização da pescaria industrial de espinhel-de-superfície no Rio Grande do Norte. Boletim do Instituto de Pesca, 43(3): 446-458. https://doi.org/10.20950/1678-2305.2017v43n3p446.
Lynch, P.D.; Shertzer, K.W.; Latour, R.J. 2012. Performance of methods used to estimate indices of abundance for highly migratory species. Fisheries Research, 125: 27í 39. https://doi.org/10.1016/j.fishres.2012.02.005.
Lucena-Frédou, F.; Kell, L.; Frédou, T.; Gaertner, D.; Potier, M.; Bach, P.; Travassos, P.; Hazin, F.; Ménard, F. 2017. Vulnerability of teleosts caught by the pelagic tuna longline fleets in South Atlantic and Western Indian Oceans. Deep Sea Research Part II: Topical Studies in Oceanography, 140(1): 230-241. https://doi.org/10.1016/j.dsr2.2016.10.008.
Maunder, M.N.; Punt, A.E. 2004. Standardizing catch and effort data: a review of recent approaches. Fisheries Research, 70(2-3): 141í 159. https://doi.org/10.1016/j.fishres.2004.08.002.
Maunder, M.N.; Sibert, J.R.; Fonteneau, A.; Harmpton, J.; Kleiber, P.; Harley, S.J. 2006. Interpreting catch per unit effort data to assess the status of individual stocks and communities. Ices Journal of Marine Science, 63(8): 1373-1385. https://doi.org/10.1016/j.icesjms.2006.05.008.
Mejuto, J.; Orti De Urbina. J.; Ramos-Cartelle, A.; García-Cortés, B. 2011. Equivalence in efficiency per hook between the traditional multifilament and monofilament surface longline styles used by the Spanish fleet targeting swordfish (Xiphias gladius) in the south east pacific. Collective Volume of Scientific Papers ICCAT, 66(4): 1541-1553.
Meneses De Lima, J.H.; Kotas, J.E.; Lin, C.F. 2000. A historical review of the Brazilian longline fishery and catch of swordfish. Collective Volume of Scientific Papers ICCAT, 51(4): 1329-1357.
Mourato, B.L.; Arfelli, C.A.; Amorim, A.F.; Hazin, H.G.; Carvalho, F.C.; Hazin, F.H.V. 2011. Spatio-temporal distribution and target species in a longline fishery off the southeastern coast of Brazil. Brazilian Journal of Oceanography, 59(2): 185-194. https://dx.doi.org/10.1590/S1679-87592011000200007.
MPA - Ministério da Pesca e Aquicultura. 2014. Instrução Normativa nº. 20, de 10 de setembro de 2014. Estabelece critérios e procedimentos para preenchimento e entrega de Mapas de Bordo das embarcações registradas e autorizadas no í¢mbito do Registro Geral da Atividade Pesqueira - RGP. Diário Oficial da União, Brasília, 11 de setembro de 2014, nº. 164, Seção 1, p.84.
Okamura, H.; Morita, S. H.; Funamoto, T.; Ichinokawa, M.; Eguchi, S. 2018. Target-based catch-per-unit-effort standardization in multispecies fisheries. Canadian Journal of Fisheries and Aquatic Sciences, 75(3): 452-463. https://doi.org/10.1139/cjfas-2016-0460.
Ortiz, M.; Mejuto, J.; Paul, S.; Yokawa, K.; Neves, M.; Idrissi, M. 2010. An updated biomass index of abundance for North Atlantic swordfish (Xiphias gladius), for the period 1963-2008. Collective Volume of Scientific Papers ICCAT, 65(1): 171-184.
Pebesma, E.J.; Bivand, R.S. 2005. Classes and methods for spatial data in R. R News 5 (2). Available at: <https://cran.r-project.org/doc/Rnews/> Accessed: Aug. 05, 2020.
Pons, M.; Branch, T.A.; Melnychuk, M.C.; Jensen, O.P.; Brodziak, J.; Fromentin, J.M.; Harley, S.J.; Haynie, A.C.; Kell, L.T.; Maunder, M.N.; Parma, A.M.; Restrepo, V.R.; Sharma, R.; Ahrens, R.; Hilborn, R. 2017. Effects of biological, economic and management factors on tuna and billfish stock status. Fish and Fisheries, 18(1): 1-21. https://doi.org/10.1111/faf.12163.
Pons, M.; Melnychuk, M.C.; Hilborn, R. 2018. Management effectiveness of large pelagic fisheries in the high seas. Fish and Fisheries, 19(2): 260-270. https://doi.org/10.1111/faf.12253.
Punt, A.E.; Su, N.-J.; Sun, C.-L. 2015. Assessing billfish stocks: A review of current methods and some future directions. Fisheries Research, 166: 103-118. https://doi.org/10.1016/j.fishres.2014.07.016.
R Core Team. 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: <https://www.R-project.org/>.
Ruffino, M.L. 2016. A gestão dos recursos pesqueiros no Brasil. In: Araujo, M.A.R. (ed.) Repensando a gestão ambiental no Brasil: uma contribuição ao debate de reconstrução nacional. Ed. Kindle, Belo Horionte. Capítulo 7.
South, A. 2011. rworldmap: A New R package for Mapping Global Data. The R Journal, 3/1: 35-43. Available at: <http://journal.r-project.org/archive/2011-1/RJournal_2011-1_South.pdf> Accessed: Aug. 05, 2020.
Thorson, J.T.; Fonner, R.; Haltuch, M.A.; Ono, K.; Winker, H. 2016. Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data. Canadian Journal of Fisheries and Aquatic Sciences, 74(11): 1794-1807. https://doi.org/10.1139/cjfas-2015-0598.
Wickham, H. 2007. Reshaping Data with the reshape Package. Journal of Statistical Software, 21(12), 1-20. Available at: <http://www.jstatsoft.org/v21/i12/> Accessed: Aug. 05, 2020.
Wickham, H. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. Available at: <https://ggplot2.tidyverse.org> Accessed: Aug. 05, 2020.
Winker, H.; Kerwath, S.E.; Attwood, C.G. 2014. Proof of concept for a novel procedure to standardize multispecies catch and effort data. Fisheries Research. 155: 149-159. https://doi.org/10.1016/j.fishres.2014.02.016.
Xu, L.; Chen, X.; Guan, W.; Tian, S.; Chen, Y. 2018. The impact of spatial autocorrelation on CPUE standardization between two different fisheries. Chinese Journal of Oceanology and Limnology, 36(3): 913-980. https://doi.org/10.1007/s00343-018-6294-7.
Arrizabalaga, H.; De Bruyn, P.; Diaz, G.A.; Murua, H.; Chavance, P.; de Molina, A.D.; Gaertner, D.; Ariz, J.; Ruiz, J.; Kell, L.T. 2011. Productivity and susceptibility analysis for species caught in Atlantic tuna fisheries. Aquatic Living Resources, 24(1): 1-12. https://doi.org/10.1051/alr/2011007.
Arrizabalaga, H.; Dufour, F.; Kell. L.; Merino, G.; Ibairarriga, L.; Chust, H.; Irigoien, X.; Santiago, J.; Murua, H.; Fraile, I.; Chiffet, M.; Goikoetxea, N.; Sararminaga, Y.; Aumont, O.; Bopp, L.; Herrera, M.; Fromentin, J.M.; Bonhomeau, S. 2015. Global habitat preferences of commercially valuable tuna. Deep Sea Research Part II: Topical Studies in Oceanography, 113: 102-112. https://doi.org/10.1016/j.dsr2.2014.07.001.
Barreto, R.; Ferretti, F.; Flemming, J.M.; Amorim, A.; Andrade, H.; Worm, B.; Lessa, R. 2016. Trends in the exploitation of South Atlantic shark populations. Conservation Biology, 30(4): 792-804. https://doi.org/10.1111/cobi.12663.
Barreto, R.R.; Bornatowski, H.; Motta, F.S.; Santander-Neto, J.; Vianna, G.M.S.; Lessa, R. 2017. Rethinking use and trade of pelagic sharks from Brazil. Marine Policy, 85(1): 114-122. https://doi.org/10.1016/j.marpol.2017.08.016.
Biseau, A. 1998. Definition of a directed fishing effort in a mixed-species trawl fishery, and its impacts on stock assessments. Aquatic Living Resources, 11(3): 119-136. https://doi.org/10.1016/S0990-7440(98)80109-5.
Campbell, R.A. 2004. CPUE standardisation and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fisheries Research, 70(2-3): 209-227. https://doi.org/10.1016/j.fishres.2004.08.026.
Campbell, R.A. 2015. Constructing stock abundance indices from catch and effort data: Some nuts and bolts. Fisheries Research, 161(1): 109-130. https://doi.org/10.1016/j.fishres.2014.07.004.
Campbell, R.A. 2016. A new spatial framework incorporating uncertain stock and fleet dynamics for estimating fish abundance. Fish and Fisheries, 17(1): 56-77. https://doi.org/10.1111/faf.12091.
Carruthers, T.R.; Ahrens, R.N.; Mcallister, M.K.; And Walters, C.J. 2011. Integrating imputation and standardization of catch rate data in the calculation of relative abundance indices. Fisheries Research, 109(1): 157í 167. https://doi.org/10.1016/j.fishres.2011.01.033.
Carvalho, F.; Ahrens, R.; Murie, D.; Ponciano, J.M.; Aires-da-Silva, A.; Maunder, M.N.; Hazin, F. 2014. Incorporating specific change points in catchability in fisheries stock assessment models: An alternative approach applied to the blue shark (Prionace glauca) stock in the south Atlantic Ocean. Fisheries Research, 154: 135-146. https://doi.org/10.1016/j.fishres.2014.01.022.
Chang, S.K.; Hoyle, S.; Liu, H.I. 2011. Catch rate standardization for yellowfin tuna (Thunnus albacares) in Taiwan’s distant-water longline fishery in the Western and Central Pacific Ocean, with consideration of target change. Fisheries Research, 107(1-3): 210-220. https://doi.org/10.1016/j.fishres.2010.11.004.
Coelho, R.; Mejuto, J.; Domingo, A.; Yokawa, K.; Liu, K.M.; Cortés, E.; Romanov, E.V.; Silva, C.; Hazin, F.; Arocha, F.; Mwilima, A.M.; Bach, P.; Zárate, V.O.; Roche, W.; Lino, P.G.; Garcia-Cortés, B.; Ramos-Cartelle, A.M.; Forselledo, R.; Mas, F.; Ohshimo, S.; Courtney, D.; Sabarros, P.S.; Perez, B.; Wogerbauer, C.; Tsai, W.-P.; Carvalho, F.; Santos, M.N. 2018. Distribution patterns and population structure of the blue shark (Prionace glauca) in the Atlantic and Indian Oceans. Fish and Fisheries, 19(1): 90-106. https://doi.org/10.1111/faf.12238 .
Cortés, E.; Arocha, F.; Beerkircher, L.; Carvalho, F.; Domingo, A.; Heupel, M.; Holtzhausen, H.; Santos, M.N.; Ribera, M; Simpfendorfer, C. 2010. Ecological risk assessment of pelagic sharks caught in Atlantic pelagic longline fisheries. Aquatic Living Resources, 23(1): 25-34. https://doi.org/10.1051/alr/2009044.
Dias-Neto, J. 2010. Pesca no Brasil e seus aspectos institucionais- um registro para o futuro. Revista CEPSUL - Biodiversidade e Conservação Marinha, 1(1): 66-80.
Erauskinâ€ÂExtramiana, M.; Arrizabalaga, H.; Hobday, A.J.; Cabré, A.; Ibaibarriaga, L.; Arregui, I.; Murua, H.; Chust, G. 2019. Largeâ€Âscale distribution of tuna species in a warming ocean. Global change biology, 25(6): 2043-2060. https://doi.org/10.1111/gcb.14630.
FAO - Food and Agriculture Organization of the United Nations. 2020. The State of World Fisheries and Aquaculture 2020 - Sustainability in action. SOFIA, Rome, Italy. Available at: <http://www.fao.org/documents/card/en/c/ca9229en/> Accessed: Aug 04, 2020.
FAO - Food and Agriculture Organization of the United Nations. 2015. Fishery and Aquaculture Statistics. Global production by production source 1950í 2014 (FishstatJ). In: FAO Fisheries and Aquaculture Department [online or CD-ROM]. Rome. Updated 2015. Available at: <http://www.fao.org/fishery/statistics/software/fishstatj/en> Accessed: Sep. 30, 2019.
Fiedler, F.N.; Sales, G.; Giffoni, B.B.; Port, D.; Sant'ana, R.; Barreto, A.S.; Schwingel, P.R. 2015. Spatio-temporal distribution and target species in longline fisheries off the southeastern/southern Brazil between 2000 and 2011. Brazilian Journal of Oceanography, 63(4): 407í 422. https://dx.doi.org/10.1590/S1679-87592015090706304.
García-Cortés, B.; Mejuto, J.; Serna, J.M. De La; Ramos-Cartelle, A. 2010. A summary on the activity of the Spanish surface longline fleet catching swordfish (Xiphias gladius) during the years 2006-2007. Collective Volume of Scientific Papers ICCAT, 65(1): 135-146.
Gerritsen, H. 2018. mapplots: Data Visualisation on Maps. R package version 1.5.1. Available at: <https://CRAN.R-project.org/package=mapplots> Accessed: Aug. 05, 2020.
Guillotreau, P.; Squires, D.; Sun, J.; Compeán, G.A. 2017. Local, regional and global markets: what drives the tuna fisheries? Reviews in Fish Biology and Fisheries, 27(4): 909-929. https://doi.org/10.1007/s11160-016-9456-8.
Guimarães-Silva, A.A; Andrade H.A. 2014. Taxas de captura de espadarte e de tubarão azul no sudoeste do atlí¢ntico entre as décadas de 1980 e 2000. Boletim do Instituto de Pesca, 40(4): 471-486.
Hazin, F.H.V.; Travassos, P.E.P. 2007. A Pesca oceí¢nica no Brasil no século 21. Revista Brasileira de Engenharia de Pesca, 2(1): 61-75. https://doi.org/10.18817/repesca.v2i1.34.
Hazin, H.; Erzini, K. 2008. Assessing swordfish distribution in the South Atlantic from spatial predictions. Fisheries Research, 90(1-3): 45-55. https://doi.org/10.1016/j.fishres.2007.09.010.
Hazin, H.G.; Hazin, F.H.V.; Mourato, B.; Carvalho F.; Frédou, T.B. 2014. Standardized catch rates of swordfish (Xiphias gladius) Caught by the brazilian fleet (1978-2012) using generalized Linear mixed models (GLMM) using delta log approach. Collective Volume of Scientific Papers ICCAT, 70(4): 1875-1884.
Hilborn, R.; Walters, C.J. 1992. Quantitative fisheries stock assessment: choice dynamics and uncertainty. London, Chapman and Hall. 550p.
Hiraoka, Y.; Kanaiwa, M.; Ohshimo, S.; Takahashi, N.; Kai, M.; Yokawa, K. 2016. Relative abundance trend of the blue shark Prionace glauca based on Japanese distant-water and offshore longliner activity in the North Pacific. Fisheries Science, 82(5): 687-699. https://doi.org/10.1007/s12562-016-1007-7.
Hobday, A.J.; Arrizabalaga, H.; Evans, K.; Scales, K.L.; Senina, I.; Weng, K.C. 2017. International collaboration and comparative research on ocean top predators under CLIOTOP. Deep Sea Research II, 140(1): 1í 8. https://doi.org/10.1016/j.dsr2.2017.03.008.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2016. Report of the 2015 ICCAT blue shark stock assessment session. SCRS PLENARY SESSIONS. Available at: <https://www.iccat.int/en/pubs_biennial.html> Accessed: Sep. 03, 2018.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2017. Report of the 2017 ICCAT Atlantic swordfish stock assessment session. SCRS PLENARY SESSIONS, 2017. Available at: <https://www.iccat.int/en/pubs_biennial.html> Accessed: Sept. 03, 2018.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2019. Report for biennial period, 2018-19. Part. I (2018). SCRS PLENARY SESSIONS 1 TO 9, 2, 2019. Available at: <https://www.iccat.int/en/pubs_biennial.html> Accessed: Sept. 03, 2018.
ICCAT - International Commission for the Conservation of Atlantic Tunas. 2020. ICCAT statistical databases. Available at: <https://www.iccat.int/en/accesingdb.html> Accessed: Aug. 08, 2020.
Lira, M.G.; Nóbrega, M.F.; Lins Oliveira, J.E. 2017. Caracterização da pescaria industrial de espinhel-de-superfície no Rio Grande do Norte. Boletim do Instituto de Pesca, 43(3): 446-458. https://doi.org/10.20950/1678-2305.2017v43n3p446.
Lynch, P.D.; Shertzer, K.W.; Latour, R.J. 2012. Performance of methods used to estimate indices of abundance for highly migratory species. Fisheries Research, 125: 27í 39. https://doi.org/10.1016/j.fishres.2012.02.005.
Lucena-Frédou, F.; Kell, L.; Frédou, T.; Gaertner, D.; Potier, M.; Bach, P.; Travassos, P.; Hazin, F.; Ménard, F. 2017. Vulnerability of teleosts caught by the pelagic tuna longline fleets in South Atlantic and Western Indian Oceans. Deep Sea Research Part II: Topical Studies in Oceanography, 140(1): 230-241. https://doi.org/10.1016/j.dsr2.2016.10.008.
Maunder, M.N.; Punt, A.E. 2004. Standardizing catch and effort data: a review of recent approaches. Fisheries Research, 70(2-3): 141í 159. https://doi.org/10.1016/j.fishres.2004.08.002.
Maunder, M.N.; Sibert, J.R.; Fonteneau, A.; Harmpton, J.; Kleiber, P.; Harley, S.J. 2006. Interpreting catch per unit effort data to assess the status of individual stocks and communities. Ices Journal of Marine Science, 63(8): 1373-1385. https://doi.org/10.1016/j.icesjms.2006.05.008.
Mejuto, J.; Orti De Urbina. J.; Ramos-Cartelle, A.; García-Cortés, B. 2011. Equivalence in efficiency per hook between the traditional multifilament and monofilament surface longline styles used by the Spanish fleet targeting swordfish (Xiphias gladius) in the south east pacific. Collective Volume of Scientific Papers ICCAT, 66(4): 1541-1553.
Meneses De Lima, J.H.; Kotas, J.E.; Lin, C.F. 2000. A historical review of the Brazilian longline fishery and catch of swordfish. Collective Volume of Scientific Papers ICCAT, 51(4): 1329-1357.
Mourato, B.L.; Arfelli, C.A.; Amorim, A.F.; Hazin, H.G.; Carvalho, F.C.; Hazin, F.H.V. 2011. Spatio-temporal distribution and target species in a longline fishery off the southeastern coast of Brazil. Brazilian Journal of Oceanography, 59(2): 185-194. https://dx.doi.org/10.1590/S1679-87592011000200007.
MPA - Ministério da Pesca e Aquicultura. 2014. Instrução Normativa nº. 20, de 10 de setembro de 2014. Estabelece critérios e procedimentos para preenchimento e entrega de Mapas de Bordo das embarcações registradas e autorizadas no í¢mbito do Registro Geral da Atividade Pesqueira - RGP. Diário Oficial da União, Brasília, 11 de setembro de 2014, nº. 164, Seção 1, p.84.
Okamura, H.; Morita, S. H.; Funamoto, T.; Ichinokawa, M.; Eguchi, S. 2018. Target-based catch-per-unit-effort standardization in multispecies fisheries. Canadian Journal of Fisheries and Aquatic Sciences, 75(3): 452-463. https://doi.org/10.1139/cjfas-2016-0460.
Ortiz, M.; Mejuto, J.; Paul, S.; Yokawa, K.; Neves, M.; Idrissi, M. 2010. An updated biomass index of abundance for North Atlantic swordfish (Xiphias gladius), for the period 1963-2008. Collective Volume of Scientific Papers ICCAT, 65(1): 171-184.
Pebesma, E.J.; Bivand, R.S. 2005. Classes and methods for spatial data in R. R News 5 (2). Available at: <https://cran.r-project.org/doc/Rnews/> Accessed: Aug. 05, 2020.
Pons, M.; Branch, T.A.; Melnychuk, M.C.; Jensen, O.P.; Brodziak, J.; Fromentin, J.M.; Harley, S.J.; Haynie, A.C.; Kell, L.T.; Maunder, M.N.; Parma, A.M.; Restrepo, V.R.; Sharma, R.; Ahrens, R.; Hilborn, R. 2017. Effects of biological, economic and management factors on tuna and billfish stock status. Fish and Fisheries, 18(1): 1-21. https://doi.org/10.1111/faf.12163.
Pons, M.; Melnychuk, M.C.; Hilborn, R. 2018. Management effectiveness of large pelagic fisheries in the high seas. Fish and Fisheries, 19(2): 260-270. https://doi.org/10.1111/faf.12253.
Punt, A.E.; Su, N.-J.; Sun, C.-L. 2015. Assessing billfish stocks: A review of current methods and some future directions. Fisheries Research, 166: 103-118. https://doi.org/10.1016/j.fishres.2014.07.016.
R Core Team. 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: <https://www.R-project.org/>.
Ruffino, M.L. 2016. A gestão dos recursos pesqueiros no Brasil. In: Araujo, M.A.R. (ed.) Repensando a gestão ambiental no Brasil: uma contribuição ao debate de reconstrução nacional. Ed. Kindle, Belo Horionte. Capítulo 7.
South, A. 2011. rworldmap: A New R package for Mapping Global Data. The R Journal, 3/1: 35-43. Available at: <http://journal.r-project.org/archive/2011-1/RJournal_2011-1_South.pdf> Accessed: Aug. 05, 2020.
Thorson, J.T.; Fonner, R.; Haltuch, M.A.; Ono, K.; Winker, H. 2016. Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data. Canadian Journal of Fisheries and Aquatic Sciences, 74(11): 1794-1807. https://doi.org/10.1139/cjfas-2015-0598.
Wickham, H. 2007. Reshaping Data with the reshape Package. Journal of Statistical Software, 21(12), 1-20. Available at: <http://www.jstatsoft.org/v21/i12/> Accessed: Aug. 05, 2020.
Wickham, H. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. Available at: <https://ggplot2.tidyverse.org> Accessed: Aug. 05, 2020.
Winker, H.; Kerwath, S.E.; Attwood, C.G. 2014. Proof of concept for a novel procedure to standardize multispecies catch and effort data. Fisheries Research. 155: 149-159. https://doi.org/10.1016/j.fishres.2014.02.016.
Xu, L.; Chen, X.; Guan, W.; Tian, S.; Chen, Y. 2018. The impact of spatial autocorrelation on CPUE standardization between two different fisheries. Chinese Journal of Oceanology and Limnology, 36(3): 913-980. https://doi.org/10.1007/s00343-018-6294-7.
Downloads
Publicado
2020-10-07
Edição
Seção
Artigo científico
